REST API
The JADBio REST API allows for advanced users to leverage JADBio’s capabilities, including image analysis. Add AutoML to your applications or automate your workflows and processes
SDKs
Looking to integrate JADBio’s automated machine learning into your own software or processes? Add all our key features plus medical image analysis now.
Need help getting started? Get in touch with a technical expert and we’ll discuss integration.
Who is JADBio for?
JADBio stands for Just Add Data and aims to make machine learning accessible to all regardless of expertise or programming skills. Whether you’re a bioinformatician, a data scientist, or a non-expert in data science but interested in getting the most out of your data JADBio’s robust AutoML automates the machine learning process, making it easy and affordable to discover knowledge, while reducing time and effort. Focus on what matters, your data insights.
See JADBio in Action
Predicting Survival Time in Low-grade Glioma (LGG) Patients
Survival analysis predicts the time it will take for an event to occur based on the occurrence of past events. Predicting survival time in Low-grade glioma (LGG) patients is difficult. JADBio can predict Survival, even when samples are few, features are many, and the data is highly censored. Here Survival analysis was based on a variety of clinical data and the expression of microRNA.
Reading the Molecular Labels in Cancer
Tissue origin and morphology have historically informed cancer diagnosis. JADBio produced two models, a Best Performing Model, with an AUC of .896 and a Best Interpretable model with an AUC of .679 in 2 mins hands-on time and nine hours of analysis time.
Monitoring Parkinson’s Progression from Home
Clinical information and 20 different speech signals from 5785 individuals with varying severities of progression were uploaded onto the JADBio platform to measure the relevance and accuracy of an at-home speech test.
Discovering Plant Metabolic Biomarkers
JADBio analyzed the data in only 30 secs and produced an executable model with numerous performance metrics, including an AUC of 80%. Eight out of the original 200+ features that were measured per sample were collectively identified as significant in predicting potato quality.
Do you have questions?
JADBio can meet your needs.
Ask one of our experts for an interactive demo or how to get started with our API
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